Publication

INTEGRATE-Neo: A pipeline for Personalized Gene Fusion Neoantigen Discovery.

Bioinformatics. 2016 Oct 24. pii: btw674. [Epub ahead of print]

Abstract

MOTIVATION:

While high-throughput sequencing (HTS) has been used successfully to discover tumor-specific mutant peptides (neoantigens) from somatic missense mutations, the field currently lacks a method for identifying which gene fusions may generate neoantigens.

RESULTS:

We demonstrate the application of our gene fusion neoantigen discovery pipeline, called INTEGRATE-Neo, by identifying gene fusions in prostate cancers that may produce neoantigens.

AVAILABILITY:

INTEGRATE-Neo is implemented in C++ and Python. Full source code and installation instructions are freely available from https://github.com/ChrisMaherLab/INTEGRATE-Neo CONTACT: christophermaher@wustl.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Authors

Zhang J, Mardis ER, Maher CA